[Featurizer] - Take a list of 13 features and weighted sum them.
[Featurizer] - The selected feature hidden_states's downsample rate is 960
[Runner] - Start a new experiment
Loading model from Local m-a-p/MERT-v1-95M
load local model succeed
load local feat extractor
Wav2Vec2FeatureExtractor {
  "do_normalize": true,
  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
  "feature_size": 1,
  "padding_side": "right",
  "padding_value": 0,
  "return_attention_mask": true,
  "sampling_rate": 24000
}


overall:   0%|          | 0/4000 [00:00<?, ?it/s]

train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:02<2:13:44,  2.01s/it]

train:   3%|▎         | 1/37 [00:02<01:12,  2.00s/it]
overall:   0%|          | 2/4000 [00:02<1:25:00,  1.28s/it]

train:   5%|▌         | 2/37 [00:02<00:44,  1.27s/it]
overall:   0%|          | 3/4000 [00:03<1:08:56,  1.03s/it]

train:   8%|▊         | 3/37 [00:03<00:35,  1.03s/it]
overall:   0%|          | 4/4000 [00:04<1:01:10,  1.09it/s]

train:  11%|█         | 4/37 [00:04<00:30,  1.09it/s]
overall:   0%|          | 5/4000 [00:05<56:54,  1.17it/s]  

train:  14%|█▎        | 5/37 [00:04<00:27,  1.17it/s]
overall:   0%|          | 6/4000 [00:05<54:14,  1.23it/s]

train:  16%|█▌        | 6/37 [00:05<00:25,  1.23it/s]
overall:   0%|          | 7/4000 [00:06<52:36,  1.27it/s]

train:  19%|█▉        | 7/37 [00:06<00:23,  1.27it/s]
overall:   0%|          | 8/4000 [00:07<51:23,  1.29it/s]

train:  22%|██▏       | 8/37 [00:07<00:22,  1.29it/s]
overall:   0%|          | 9/4000 [00:07<50:39,  1.31it/s]

train:  24%|██▍       | 9/37 [00:07<00:21,  1.31it/s]
overall:   0%|          | 10/4000 [00:08<50:10,  1.33it/s]

train:  27%|██▋       | 10/37 [00:08<00:20,  1.33it/s]
overall:   0%|          | 11/4000 [00:09<49:46,  1.34it/s]

train:  30%|██▉       | 11/37 [00:09<00:19,  1.34it/s]
overall:   0%|          | 12/4000 [00:10<49:42,  1.34it/s]

train:  32%|███▏      | 12/37 [00:10<00:18,  1.34it/s]
overall:   0%|          | 13/4000 [00:10<49:32,  1.34it/s]

train:  35%|███▌      | 13/37 [00:10<00:17,  1.34it/s]
overall:   0%|          | 14/4000 [00:11<49:44,  1.34it/s]

train:  38%|███▊      | 14/37 [00:11<00:17,  1.34it/s]
overall:   0%|          | 15/4000 [00:12<49:28,  1.34it/s]

train:  41%|████      | 15/37 [00:12<00:16,  1.34it/s]
overall:   0%|          | 16/4000 [00:13<49:08,  1.35it/s]

train:  43%|████▎     | 16/37 [00:13<00:15,  1.35it/s]
overall:   0%|          | 17/4000 [00:13<48:56,  1.36it/s]

train:  46%|████▌     | 17/37 [00:13<00:14,  1.36it/s]
overall:   0%|          | 18/4000 [00:14<48:41,  1.36it/s]

train:  49%|████▊     | 18/37 [00:14<00:13,  1.36it/s]
overall:   0%|          | 19/4000 [00:15<48:35,  1.37it/s]

train:  51%|█████▏    | 19/37 [00:15<00:13,  1.37it/s]
overall:   0%|          | 20/4000 [00:16<48:30,  1.37it/s]

train:  54%|█████▍    | 20/37 [00:16<00:12,  1.37it/s]
overall:   1%|          | 21/4000 [00:16<48:33,  1.37it/s]

train:  57%|█████▋    | 21/37 [00:16<00:11,  1.37it/s]
overall:   1%|          | 22/4000 [00:17<48:28,  1.37it/s]

train:  59%|█████▉    | 22/37 [00:17<00:10,  1.37it/s]
overall:   1%|          | 23/4000 [00:18<48:25,  1.37it/s]

train:  62%|██████▏   | 23/37 [00:18<00:10,  1.37it/s]
overall:   1%|          | 24/4000 [00:18<48:29,  1.37it/s]

train:  65%|██████▍   | 24/37 [00:18<00:09,  1.37it/s]
overall:   1%|          | 25/4000 [00:19<48:42,  1.36it/s]

train:  68%|██████▊   | 25/37 [00:19<00:08,  1.36it/s]
overall:   1%|          | 26/4000 [00:20<49:02,  1.35it/s]

train:  70%|███████   | 26/37 [00:20<00:08,  1.35it/s]
overall:   1%|          | 27/4000 [00:21<48:56,  1.35it/s]

train:  73%|███████▎  | 27/37 [00:21<00:07,  1.35it/s]
overall:   1%|          | 28/4000 [00:21<48:49,  1.36it/s]

train:  76%|███████▌  | 28/37 [00:21<00:06,  1.36it/s]
overall:   1%|          | 29/4000 [00:22<48:37,  1.36it/s]

train:  78%|███████▊  | 29/37 [00:22<00:05,  1.36it/s]
overall:   1%|          | 30/4000 [00:23<48:32,  1.36it/s]

train:  81%|████████  | 30/37 [00:23<00:05,  1.36it/s]
overall:   1%|          | 31/4000 [00:24<48:26,  1.37it/s]

train:  84%|████████▍ | 31/37 [00:24<00:04,  1.37it/s]
overall:   1%|          | 32/4000 [00:24<48:18,  1.37it/s]

train:  86%|████████▋ | 32/37 [00:24<00:03,  1.37it/s]
overall:   1%|          | 33/4000 [00:25<48:15,  1.37it/s]

train:  89%|████████▉ | 33/37 [00:25<00:02,  1.37it/s]
overall:   1%|          | 34/4000 [00:26<48:16,  1.37it/s]

train:  92%|█████████▏| 34/37 [00:26<00:02,  1.37it/s]
overall:   1%|          | 35/4000 [00:27<48:17,  1.37it/s]

train:  95%|█████████▍| 35/37 [00:27<00:01,  1.37it/s]
overall:   1%|          | 36/4000 [00:27<48:17,  1.37it/s]

train:  97%|█████████▋| 36/37 [00:27<00:00,  1.37it/s]
overall:   1%|          | 37/4000 [00:28<46:07,  1.43it/s]

train: 100%|██████████| 37/37 [00:28<00:00,  1.43it/s]
train: 100%|██████████| 37/37 [00:28<00:00,  1.30it/s]
train loss: 2.9903180599212646
train acc: 0.05299999937415123
train loss: 2.951760768890381
train acc: 0.12200000137090683
train loss: 2.9115657806396484
train acc: 0.13300000131130219


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   1%|          | 38/4000 [00:30<1:05:53,  1.00it/s]

train:   3%|▎         | 1/37 [00:01<00:56,  1.57s/it]
overall:   1%|          | 39/4000 [00:30<1:00:49,  1.09it/s]

train:   5%|▌         | 2/37 [00:02<00:37,  1.08s/it]
overall:   1%|          | 40/4000 [00:31<57:10,  1.15it/s]  

train:   8%|▊         | 3/37 [00:03<00:31,  1.08it/s]
overall:   1%|          | 41/4000 [00:32<54:30,  1.21it/s]

train:  11%|█         | 4/37 [00:03<00:28,  1.18it/s]
overall:   1%|          | 42/4000 [00:33<52:38,  1.25it/s]

train:  14%|█▎        | 5/37 [00:04<00:25,  1.24it/s]
overall:   1%|          | 43/4000 [00:33<51:18,  1.29it/s]

train:  16%|█▌        | 6/37 [00:05<00:24,  1.28it/s]
overall:   1%|          | 44/4000 [00:34<50:28,  1.31it/s]

train:  19%|█▉        | 7/37 [00:05<00:22,  1.30it/s]
overall:   1%|          | 45/4000 [00:35<49:51,  1.32it/s]

train:  22%|██▏       | 8/37 [00:06<00:21,  1.32it/s]
overall:   1%|          | 46/4000 [00:35<49:25,  1.33it/s]

train:  24%|██▍       | 9/37 [00:07<00:20,  1.33it/s]
overall:   1%|          | 47/4000 [00:36<49:05,  1.34it/s]

train:  27%|██▋       | 10/37 [00:08<00:20,  1.34it/s]
overall:   1%|          | 48/4000 [00:37<48:57,  1.35it/s]

train:  30%|██▉       | 11/37 [00:08<00:19,  1.35it/s]
overall:   1%|          | 49/4000 [00:38<48:43,  1.35it/s]

train:  32%|███▏      | 12/37 [00:09<00:18,  1.35it/s]
overall:   1%|▏         | 50/4000 [00:38<48:43,  1.35it/s]

train:  35%|███▌      | 13/37 [00:10<00:17,  1.35it/s]
overall:   1%|▏         | 51/4000 [00:39<48:45,  1.35it/s]

train:  38%|███▊      | 14/37 [00:11<00:17,  1.35it/s]
overall:   1%|▏         | 52/4000 [00:40<48:38,  1.35it/s]

train:  41%|████      | 15/37 [00:11<00:16,  1.35it/s]
overall:   1%|▏         | 53/4000 [00:41<48:30,  1.36it/s]

train:  43%|████▎     | 16/37 [00:12<00:15,  1.36it/s]
overall:   1%|▏         | 54/4000 [00:41<48:21,  1.36it/s]

train:  46%|████▌     | 17/37 [00:13<00:14,  1.36it/s]
overall:   1%|▏         | 55/4000 [00:42<48:19,  1.36it/s]

train:  49%|████▊     | 18/37 [00:14<00:13,  1.36it/s]
overall:   1%|▏         | 56/4000 [00:43<48:25,  1.36it/s]

train:  51%|█████▏    | 19/37 [00:14<00:13,  1.36it/s]
overall:   1%|▏         | 57/4000 [00:44<48:19,  1.36it/s]

train:  54%|█████▍    | 20/37 [00:15<00:12,  1.36it/s]
overall:   1%|▏         | 58/4000 [00:44<48:14,  1.36it/s]

train:  57%|█████▋    | 21/37 [00:16<00:11,  1.36it/s]
overall:   1%|▏         | 59/4000 [00:45<48:14,  1.36it/s]

train:  59%|█████▉    | 22/37 [00:17<00:11,  1.36it/s]
overall:   2%|▏         | 60/4000 [00:46<48:38,  1.35it/s]

train:  62%|██████▏   | 23/37 [00:17<00:10,  1.35it/s]
overall:   2%|▏         | 61/4000 [00:47<48:43,  1.35it/s]

train:  65%|██████▍   | 24/37 [00:18<00:09,  1.35it/s]
overall:   2%|▏         | 62/4000 [00:47<49:00,  1.34it/s]

train:  68%|██████▊   | 25/37 [00:19<00:08,  1.34it/s]
overall:   2%|▏         | 63/4000 [00:48<49:01,  1.34it/s]

train:  70%|███████   | 26/37 [00:20<00:08,  1.34it/s]
overall:   2%|▏         | 64/4000 [00:49<49:09,  1.33it/s]

train:  73%|███████▎  | 27/37 [00:20<00:07,  1.33it/s]
overall:   2%|▏         | 65/4000 [00:50<48:47,  1.34it/s]

train:  76%|███████▌  | 28/37 [00:21<00:06,  1.34it/s]
overall:   2%|▏         | 66/4000 [00:50<48:34,  1.35it/s]

train:  78%|███████▊  | 29/37 [00:22<00:05,  1.35it/s]
overall:   2%|▏         | 67/4000 [00:51<48:26,  1.35it/s]

train:  81%|████████  | 30/37 [00:22<00:05,  1.35it/s]
overall:   2%|▏         | 68/4000 [00:52<48:22,  1.35it/s]

train:  84%|████████▍ | 31/37 [00:23<00:04,  1.35it/s]
overall:   2%|▏         | 69/4000 [00:52<48:16,  1.36it/s]

train:  86%|████████▋ | 32/37 [00:24<00:03,  1.36it/s]
overall:   2%|▏         | 70/4000 [00:53<48:11,  1.36it/s]

train:  89%|████████▉ | 33/37 [00:25<00:02,  1.36it/s]
overall:   2%|▏         | 71/4000 [00:54<48:12,  1.36it/s]

train:  92%|█████████▏| 34/37 [00:25<00:02,  1.36it/s]
overall:   2%|▏         | 72/4000 [00:55<48:13,  1.36it/s]

train:  95%|█████████▍| 35/37 [00:26<00:01,  1.36it/s]
overall:   2%|▏         | 73/4000 [00:55<48:03,  1.36it/s]

train:  97%|█████████▋| 36/37 [00:27<00:00,  1.36it/s]
overall:   2%|▏         | 74/4000 [00:56<45:54,  1.43it/s]

train: 100%|██████████| 37/37 [00:28<00:00,  1.43it/s]
train: 100%|██████████| 37/37 [00:28<00:00,  1.32it/s]
train loss: 2.873908519744873
train acc: 0.1427125483751297
train loss: 2.8296313285827637
train acc: 0.1509999930858612
train loss: 2.8069560527801514
train acc: 0.15700000524520874
train loss: 2.788508415222168
train acc: 0.1770000010728836


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   2%|▏         | 75/4000 [00:58<1:02:40,  1.04it/s]

train:   3%|▎         | 1/37 [00:01<00:52,  1.46s/it]
overall:   2%|▏         | 76/4000 [00:58<58:17,  1.12it/s]  

train:   5%|▌         | 2/37 [00:02<00:36,  1.03s/it]
overall:   2%|▏         | 77/4000 [00:59<55:21,  1.18it/s]

train:   8%|▊         | 3/37 [00:02<00:30,  1.11it/s]
overall:   2%|▏         | 78/4000 [01:00<53:18,  1.23it/s]

train:  11%|█         | 4/37 [00:03<00:27,  1.19it/s]
overall:   2%|▏         | 79/4000 [01:01<51:48,  1.26it/s]

train:  14%|█▎        | 5/37 [00:04<00:25,  1.25it/s]
overall:   2%|▏         | 80/4000 [01:01<50:57,  1.28it/s]

train:  16%|█▌        | 6/37 [00:05<00:24,  1.27it/s]
overall:   2%|▏         | 81/4000 [01:02<50:22,  1.30it/s]

train:  19%|█▉        | 7/37 [00:05<00:23,  1.29it/s]
overall:   2%|▏         | 82/4000 [01:03<49:49,  1.31it/s]

train:  22%|██▏       | 8/37 [00:06<00:22,  1.31it/s]
overall:   2%|▏         | 83/4000 [01:04<49:27,  1.32it/s]

train:  24%|██▍       | 9/37 [00:07<00:21,  1.32it/s]
overall:   2%|▏         | 84/4000 [01:04<49:16,  1.32it/s]

train:  27%|██▋       | 10/37 [00:08<00:20,  1.32it/s]
overall:   2%|▏         | 85/4000 [01:05<49:05,  1.33it/s]

train:  30%|██▉       | 11/37 [00:08<00:19,  1.33it/s]
overall:   2%|▏         | 86/4000 [01:06<48:51,  1.34it/s]

train:  32%|███▏      | 12/37 [00:09<00:18,  1.33it/s]
overall:   2%|▏         | 87/4000 [01:07<49:19,  1.32it/s]

train:  35%|███▌      | 13/37 [00:10<00:18,  1.32it/s]
overall:   2%|▏         | 88/4000 [01:07<48:58,  1.33it/s]

train:  38%|███▊      | 14/37 [00:11<00:17,  1.33it/s]
overall:   2%|▏         | 89/4000 [01:08<48:41,  1.34it/s]

train:  41%|████      | 15/37 [00:11<00:16,  1.34it/s]
overall:   2%|▏         | 90/4000 [01:09<48:32,  1.34it/s]

train:  43%|████▎     | 16/37 [00:12<00:15,  1.34it/s]
overall:   2%|▏         | 91/4000 [01:09<48:17,  1.35it/s]

train:  46%|████▌     | 17/37 [00:13<00:14,  1.35it/s]
overall:   2%|▏         | 92/4000 [01:10<48:07,  1.35it/s]

train:  49%|████▊     | 18/37 [00:14<00:14,  1.35it/s]
overall:   2%|▏         | 93/4000 [01:11<48:04,  1.35it/s]

train:  51%|█████▏    | 19/37 [00:14<00:13,  1.35it/s]
overall:   2%|▏         | 94/4000 [01:12<47:59,  1.36it/s]

train:  54%|█████▍    | 20/37 [00:15<00:12,  1.36it/s]
overall:   2%|▏         | 95/4000 [01:12<47:58,  1.36it/s]

train:  57%|█████▋    | 21/37 [00:16<00:11,  1.36it/s]
overall:   2%|▏         | 96/4000 [01:13<47:59,  1.36it/s]

train:  59%|█████▉    | 22/37 [00:17<00:11,  1.36it/s]
overall:   2%|▏         | 97/4000 [01:14<48:06,  1.35it/s]

train:  62%|██████▏   | 23/37 [00:17<00:10,  1.35it/s]
overall:   2%|▏         | 98/4000 [01:15<48:06,  1.35it/s]

train:  65%|██████▍   | 24/37 [00:18<00:09,  1.35it/s]
overall:   2%|▏         | 99/4000 [01:15<48:41,  1.34it/s]

train:  68%|██████▊   | 25/37 [00:19<00:08,  1.34it/s]
overall:   2%|▎         | 100/4000 [01:16<48:27,  1.34it/s]

train:  70%|███████   | 26/37 [00:20<00:08,  1.34it/s]
overall:   3%|▎         | 101/4000 [01:17<48:16,  1.35it/s]

train:  73%|███████▎  | 27/37 [00:20<00:07,  1.35it/s]
overall:   3%|▎         | 102/4000 [01:18<48:07,  1.35it/s]

train:  76%|███████▌  | 28/37 [00:21<00:06,  1.35it/s]
overall:   3%|▎         | 103/4000 [01:18<47:58,  1.35it/s]

train:  78%|███████▊  | 29/37 [00:22<00:05,  1.35it/s]
overall:   3%|▎         | 104/4000 [01:19<47:56,  1.35it/s]

train:  81%|████████  | 30/37 [00:22<00:05,  1.35it/s]
overall:   3%|▎         | 105/4000 [01:20<47:57,  1.35it/s]

train:  84%|████████▍ | 31/37 [00:23<00:04,  1.35it/s]
overall:   3%|▎         | 106/4000 [01:21<47:52,  1.36it/s]

train:  86%|████████▋ | 32/37 [00:24<00:03,  1.36it/s]
overall:   3%|▎         | 107/4000 [01:21<47:50,  1.36it/s]

train:  89%|████████▉ | 33/37 [00:25<00:02,  1.36it/s]
overall:   3%|▎         | 108/4000 [01:22<47:52,  1.35it/s]

train:  92%|█████████▏| 34/37 [00:25<00:02,  1.35it/s]
overall:   3%|▎         | 109/4000 [01:23<48:01,  1.35it/s]

train:  95%|█████████▍| 35/37 [00:26<00:01,  1.35it/s]
overall:   3%|▎         | 110/4000 [01:24<48:04,  1.35it/s]

train:  97%|█████████▋| 36/37 [00:27<00:00,  1.35it/s]
overall:   3%|▎         | 111/4000 [01:24<45:54,  1.41it/s]

train: 100%|██████████| 37/37 [00:28<00:00,  1.41it/s]
train: 100%|██████████| 37/37 [00:28<00:00,  1.31it/s]
train loss: 2.7394771575927734
train acc: 0.18319837749004364
train loss: 2.723552942276001
train acc: 0.19599999487400055
train loss: 2.6887810230255127
train acc: 0.1850000023841858
train loss: 2.6777777671813965
train acc: 0.20800000429153442


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   3%|▎         | 112/4000 [01:26<1:04:44,  1.00it/s]

train:   3%|▎         | 1/37 [00:01<00:56,  1.56s/it]
overall:   3%|▎         | 113/4000 [01:27<1:00:01,  1.08it/s]

train:   5%|▌         | 2/37 [00:02<00:38,  1.09s/it]
overall:   3%|▎         | 114/4000 [01:27<56:50,  1.14it/s]  

train:   8%|▊         | 3/37 [00:03<00:31,  1.06it/s]
overall:   3%|▎         | 115/4000 [01:28<54:19,  1.19it/s]

train:  11%|█         | 4/37 [00:03<00:28,  1.16it/s]
overall:   3%|▎         | 116/4000 [01:29<52:30,  1.23it/s]

train:  14%|█▎        | 5/37 [00:04<00:26,  1.22it/s]
overall:   3%|▎         | 117/4000 [01:30<51:23,  1.26it/s]

train:  16%|█▌        | 6/37 [00:05<00:24,  1.25it/s]
overall:   3%|▎         | 118/4000 [01:30<50:25,  1.28it/s]

train:  19%|█▉        | 7/37 [00:06<00:23,  1.28it/s]
overall:   3%|▎         | 119/4000 [01:31<49:45,  1.30it/s]

train:  22%|██▏       | 8/37 [00:06<00:22,  1.30it/s]
overall:   3%|▎         | 120/4000 [01:32<49:27,  1.31it/s]

train:  24%|██▍       | 9/37 [00:07<00:21,  1.31it/s]
overall:   3%|▎         | 121/4000 [01:33<49:11,  1.31it/s]

train:  27%|██▋       | 10/37 [00:08<00:20,  1.31it/s]
overall:   3%|▎         | 122/4000 [01:33<48:57,  1.32it/s]

train:  30%|██▉       | 11/37 [00:09<00:19,  1.32it/s]
overall:   3%|▎         | 123/4000 [01:34<48:46,  1.32it/s]

train:  32%|███▏      | 12/37 [00:09<00:18,  1.32it/s]
overall:   3%|▎         | 124/4000 [01:35<48:52,  1.32it/s]

train:  35%|███▌      | 13/37 [00:10<00:18,  1.32it/s]
overall:   3%|▎         | 125/4000 [01:36<48:32,  1.33it/s]

train:  38%|███▊      | 14/37 [00:11<00:17,  1.33it/s]
overall:   3%|▎         | 126/4000 [01:36<48:32,  1.33it/s]

train:  41%|████      | 15/37 [00:12<00:16,  1.33it/s]
overall:   3%|▎         | 127/4000 [01:37<48:20,  1.34it/s]

train:  43%|████▎     | 16/37 [00:12<00:15,  1.34it/s]
overall:   3%|▎         | 128/4000 [01:38<48:16,  1.34it/s]

train:  46%|████▌     | 17/37 [00:13<00:14,  1.34it/s]
overall:   3%|▎         | 129/4000 [01:39<48:10,  1.34it/s]

train:  49%|████▊     | 18/37 [00:14<00:14,  1.34it/s]
overall:   3%|▎         | 130/4000 [01:39<47:58,  1.34it/s]

train:  51%|█████▏    | 19/37 [00:15<00:13,  1.34it/s]Process Process-47:
Process Process-43:
Process Process-44:
Process Process-42:
Process Process-37:
Process Process-46:
Process Process-40:
Process Process-48:
Process Process-39:
Process Process-41:
Process Process-38:
Process Process-45:
Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f46d38b8700>
Traceback (most recent call last):
  File "/home/tony/anaconda3/envs/suno_env/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 1478, in __del__
    self._shutdown_workers()
  File "/home/tony/anaconda3/envs/suno_env/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 1442, in _shutdown_workers
    w.join(timeout=_utils.MP_STATUS_CHECK_INTERVAL)
  File "/home/tony/anaconda3/envs/suno_env/lib/python3.10/multiprocessing/process.py", line 149, in join
    res = self._popen.wait(timeout)
  File "/home/tony/anaconda3/envs/suno_env/lib/python3.10/multiprocessing/popen_fork.py", line 40, in wait
    if not wait([self.sentinel], timeout):
  File "/home/tony/anaconda3/envs/suno_env/lib/python3.10/multiprocessing/connection.py", line 931, in wait
    ready = selector.select(timeout)
  File "/home/tony/anaconda3/envs/suno_env/lib/python3.10/selectors.py", line 416, in select
    fd_event_list = self._selector.poll(timeout)
KeyboardInterrupt: 

train:  51%|█████▏    | 19/37 [00:47<00:45,  2.51s/it]
train loss: 2.63844633102417
train acc: 0.21659919619560242
train loss: 2.6174397468566895
train acc: 0.2329999953508377
Traceback (most recent call last):
  File "/home/tony/Work/glockenspiel/s3prl/s3prl/run_downstream.py", line 219, in <module>
    main()
  File "/home/tony/Work/glockenspiel/s3prl/s3prl/run_downstream.py", line 215, in main
    eval(f'runner.{args.mode}')()
  File "/home/tony/Work/glockenspiel/s3prl/s3prl/downstream/runner.py", line 306, in train
    (loss / gradient_accumulate_steps).backward()
  File "/home/tony/anaconda3/envs/suno_env/lib/python3.10/site-packages/torch/_tensor.py", line 487, in backward
    torch.autograd.backward(
  File "/home/tony/anaconda3/envs/suno_env/lib/python3.10/site-packages/torch/autograd/__init__.py", line 200, in backward
    Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
KeyboardInterrupt

overall:   3%|▎         | 130/4000 [02:12<1:05:50,  1.02s/it]